Design and Implementation of e-Journal Review System Using Text-Mining Technology

Abstract

With the advancement in information communication technology and the concept of the Web 2.0 framework, the e-learning becomes more popular and more diverse. In the last decade, the publication of journal papers has become a major channel for the outcome of researchers’ studies. But, the current submission method of the international journal papers is mostly handled by traditional paper review process. As the submitted articles increase the burden of paper reviewing process gets heavy. It is not only time-consuming and laborious, but cannot find proper reviewers to review the specific manuscripts in some cases. Sometimes, the assignment of papers to specific reviewers is not objective enough. Thus, this study is based on the design concept of content management, CMS, to develop an online collaborative electronic journal paper review system. We adopt rich internet application, RIA, technology to web application development and apply text mining technologies to articles classification. We propose an assignment mechanism of paper reviews to achieve the automatic, fair and efficient paper reviewers’ assignment. Expect the study will effectively simplify the complex assignment process and make the review work more objective and efficient.